Gemini 4 Argon raises single-response output limit to 1M tokens
Google DeepMind released Gemini 4 Argon, the first Gemini 4 model, raising output from 64K to 1M tokens and targeting long-horizon coding, enterprise knowledge work and cyber defense, though it trails Astra and Opus 5.5 on some benchmarks.
Google DeepMind just announced Gemini 4 Argon, raising the output limit from 64K to 1M tokens in a single response. It is the first model of the Gemini 4 generation, built for long-horizon coding, enterprise knowledge work, and cyber defense. The core shift is output depth. With room to generate hundreds of thousands of tokens in one trajectory, Argon can tackle large refactors and multi-step problems without splitting work across turns. In Google's own comparison, Argon leads GPT-6 Astra and Claude Opus 5.5 on DeepSWE v1.1 (77.9%), the Vals Index (68.9%), and AutomationBench (51.3%). It is not a sweep, though: it trails on FrontierSWE v2, Terminal-Bench 4.0, and OSWorld-2.0. Access is gated. Argon is rolling out first to cyber defenders in the Fairwind Program, with paid API customers and Google AI Ultra subscribers next. Introductory pricing is $2 input / $10 output per 1M tokens...... Full analysis: https://www.marktechpost.com/2026/09/30/google-deepmind-unveils-gemini-4-argon-with-1m-output-tokens-for-coding-knowledge-work-and-cyber-defense/ Announcement: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/ Fairwind Program: https://deepmind.google/fairwind-program/ @OfficialLoganK @GoogleDeepMind @GoogleResearch @googleaidevs @googleaidevs